H04L67/1006

ELASTICALLY SCALABLE DOCUMENT-ORIENTED STORAGE SERVICES

A server set may provide a document service to various clients in view of considerations such as availability, fault tolerance, flexibility, and performance. Presented herein are document service architectures that involve partitioning the document set into at least two document ranges, and assigning the respective document ranges to an agent that is deployed to at least one assigned server. A request to apply an operation to a selected document may be fulfilled by identifying the document range of the document; identifying a selected server of the server set that hosts the agent to which the range is assigned; and forwarding the request to the selected server. In some variations, servers may retain detailed information about neighboring servers (e.g., according to logical and/or physical proximity) and scant information about distant servers, thereby avoiding both the extensive information exchange of highly informed network architectures and the inefficiency of uninformed routing algorithms.

INSTANT REBATES FOR DEMAND RESPONSE ENROLLMENT AND CLAWBACKS

Systems, methods, and apparatus are disclosed for providing instant rebates before a transaction is completed. This involves ingest of customer and rebate data from two or more utilities, where the data is parsed and normalized into a standard format across all of the utilities. The customer data is then stored in an accounts database, while the rebate data is further processed along with utility rebate rules to determine a set of device and demand response rebate eligibilities for a variety of scenarios. The resulting rebate profiles can be stored in a rebates database and linked to corresponding customer account data in the accounts database. Third-party frontends can then request rebate eligibility based on a customer identifier and retail channel, and various services can work in tandem to query the rebated database and return a set of eligibilities with so little latency that the eligibility check appears instant from a customer's standpoint.

Information processing apparatus, method for connecting information processing apparatus to cloud service, and recording medium
10270657 · 2019-04-23 · ·

An information processing apparatus is configured to connect to a cloud server through a network, the cloud server including a plurality of servers providing a cloud service. The apparatus includes a memory to store connection destination information, and a plurality of network setting information lists, and circuitry to, in response to a user instruction for connecting the information processing apparatus to the cloud server, acquire the connection destination information, and the network setting information lists one by one in a descending order of probability, from the memory, to repeat operations of connecting the information processing apparatus to the cloud server using the acquired connection destination information and the acquired network setting information list until the connection is established with the cloud server, and notify a user of a progress status of the operations of connecting the information processing apparatus to the cloud server.

Automated load balancing for private clouds

A system, computer program product, and computer-executable method of balancing Input/Output (I/O) loads for cloud data storage systems including a plurality of hosts and a plurality of data storage arrays, the system, computer program product, and computer-executable method including monitoring, via a first host of the plurality of hosts, a status of a first data storage array of the plurality of data storage arrays, upon detecting a performance issue with the first data storage array, notifying a cloud manager of the first data storage array, wherein the cloud manager is in communication with each of the plurality of hosts and each of the plurality of data storage arrays, monitoring, via the cloud manager, the performance issue, and determining, via the cloud manager, whether to move at least one LUN from the first data storage array.

Routing for large server deployments

In one aspect, the present disclosure relates to a method comprising: receiving a first request from a client device; generating a plurality of uniform resource locators (URLs), each of the plurality of URLs comprising an encoded representation of a network address associated with a respective node from a plurality of nodes in a computer cluster; sending a first response to a client device, the first response comprising the plurality of URLs; receiving a second request from the client device, the second request comprising a first URL from the plurality of URLs; determining the second request should be routed to a first network address based on decoding the first URL, the first network address associated with a first node from the plurality of nodes; and forwarding the second request to the first node in response to the determining.

Elastically scalable document-oriented storage services

A server set may provide a document service to various clients in view of considerations such as availability, fault tolerance, flexibility, and performance. Presented herein are document service architectures that involve partitioning the document set into at least two document ranges, and assigning the respective document ranges to an agent that is deployed to at least one assigned server. A request to apply an operation to a selected document may be fulfilled by identifying the document range of the document; identifying a selected server of the server set that hosts the agent to which the range is assigned; and forwarding the request to the selected server. In some variations, servers may retain detailed information about neighboring servers (e.g., according to logical and/or physical proximity) and scant information about distant servers, thereby avoiding both the extensive information exchange of highly informed network architectures and the inefficiency of uninformed routing algorithms.

Massively scalable object storage for storing object replicas

An example method for storing data includes providing a plurality of physical storage pools, each storage pool including a plurality of storage nodes coupled to a network. The method also includes mapping a partition of a plurality of partitions to a set of physical storage pools, where each physical storage pool of the set of physical storage pools is located in a different availability zone, and the storage nodes within an availability zone are subject to a correlated loss of access to stored data. The method further includes receiving a data management request over the network, the data management request being associated with a data object. The method also includes identifying a first partition of the plurality of partitions corresponding to the received data management request and manipulating the data object in the physical storage pools mapped to the first partition in accordance with the data management request.

Distributed data-based concurrent processing method and system, and computer storage medium

A distributed data-based concurrent processing by a control terminal obtaining data block information corresponding to a submitted operation; a task processing terminal sending a task processing request to the control terminal; the control terminal finding a data block that is unassigned and is distributed in the same server where the task processing terminal is distributed, and assigning the found data block to the task processing terminal. The control terminal determines a server having the fewest data blocks that are being processed by the task processing terminal and assigning an unassigned data block to the task processing terminal on the determined server if the data block that is unassigned and is distributed in the same server where the task processing terminal is distributed is not found. The task processing terminal processes the data block assigned by the control terminal according to a flow.

Cluster federation and trust in a cloud environment

An improved scalable object storage system allows multiple clusters to work together. In one embodiment, a trust and federation relationship is established between a first cluster and a second cluster. This is done by designating a first cluster as a trust root. The trust root receives contact from another cluster, and the two clusters exchange cryptographic credentials. The two clusters mutually authenticate each other based upon the credentials, and optionally relative to a third information service, and establish a service connection. Services from the remote cluster are registered as being available to the cluster designated as the trust root. Multi-cluster gateways can also be designated as the trust root, and joined clusters can be mutually untrusting. Two one-way trust and federation relationships can be set up to form a trusted bidirectional channel.

Load-balanced, persistent connection techniques

Techniques for creating a persistent connection between client devices and one or more remote computing resources, which may form a portion of a network-accessible computing platform. This connection may be considered permanent or nearly permanent to allow the client device to both send data to and receive data from the remote resources at nearly any time. In addition, both the client device and the remote resources may establish virtual channels over this single connection. If no data is exchanged between the client device and the remote computing resources for a threshold amount of time, then the connection may be severed and the client device may attempt to establish a new connection with the remote computing resources.